We are looking for a Data Engineer with solid experience in Java, Apache Spark, Apache Airflow, and GCP to design and build scalable, cloud-native data pipelines.
Key Responsibilities & Skills:
Develop and optimize distributed data processing pipelines using Java-based Apache Spark.
Design and maintain Apache Airflow DAGs for data pipeline orchestration and scheduling.
Work with GCP services including BigQuery and Cloud Storage to build scalable data solutions.
Write and optimize complex SQL queries for data transformation and analysis.
Apply data engineering best practices around pipeline reliability, scalability, monitoring, and performance.
Collaborate with engineering and analytics teams to deliver high-quality data solutions.

Must-Have Skills:
Strong hands-on experience with Java + Apache Spark.
Proficiency in Apache Airflow / DAG authoring.
Experience with GCP – BigQuery and Cloud Storage.
Solid SQL fundamentals.
Valuable understanding of data pipeline orchestration and cloud-native data engineering.

Preferred Experience:
Experience with large-scale data processing, performance optimization, and production-grade data pipelines.

📌 Hiring: Data Engineer Bengaluru
🏢 UST
📍 Bengaluru